CVE-2021-41206

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...

CVE-2022-23594

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow MLIR makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef i...

CVE-2022-23560

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We...

CVE-2022-23584

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After png::CommonFreeDecode gets called, the values of decode.width and decode.height are in an unspecified state. The fix will be included in TensorFlow 2.8.0. ...

CVE-2022-35939

TensorFlow is an open source platform for machine learning. The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have...

CVE-2022-35938

TensorFlow is an open source platform for machine learning. The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been...

CVE-2025-13628

CVE-2025-13628 affects Tutor LMS – eLearning and online course solution (WordPress) up to version 3.9.3. The vulnerability results from missing capability checks in bulk_action_handler and coupon_permanent_delete, allowing authenticated users with subscriber-level access or higher to delete, acti...

Unified Framework for Qualifying Security Boundary of PUFs against Machine Learning Attacks

Physical Unclonable Functions PUFs serve as lightweight, hardware-intrinsic entropy sources widely deployed in IoT security applications. However, delay-based PUFs are vulnerable to Machine Learning Attacks MLAs, undermining their assumed unclonability. There are no valid metrics for evaluating P...

CVE-2025-14802

The LearnPress – WordPress LMS Plugin for WordPress is vulnerable to unauthorized file deletion in versions up to, and including, 4.3.2.2 via the /wp-json/lp/v1/material/fileid REST API endpoint. This is due to a parameter mismatch between the DELETE operation and authorization check, where the...

How Cisco Talos powers the solutions protecting your organization

Cisco Talos is Cisco's threat intelligence and security research organization that powers Cisco's product portfolio with that intelligence. While we are well known for the security research in our blog, vulnerability discoveries, and our open-source software, you may not be aware of exactly how o...

CVE-2019-12834

In HT2 Labs Learning Locker 3.15.1, it's possible to inject malicious HTML and JavaScript code into the DOM of the website via the PATHINFO to the dashboards/ URI...

Exploit for Off-by-one Error in Sudo_Project Sudo

ExploitForge - AI-Powered Automatic Exploit Generation !Pyt...

Few-Shot Learning for Security Bug Report Identification

Security bug reports require prompt identification to minimize the window of vulnerability in software systems. Traditional machine learning ML techniques for classifying bug reports to identify security bug reports rely heavily on large amounts of labeled data. However, datasets for security bug...

PT-2026-1425

Name of the Vulnerable Software and Affected Versions LearnPress – WordPress LMS Plugin versions up to and including 4.3.2 Description The LearnPress – WordPress LMS Plugin for WordPress is susceptible to unauthorized data modification. This is due to a missing capability check within the catch l...

Quantum AI for Cybersecurity: A Hybrid Quantum-Classical Models for Attack Path Analysis

Modern cyberattacks are increasingly complex, posing significant challenges to classical machine learning methods, particularly when labeled data is limited and feature interactions are highly non-linear. In this study we investigates the potential of hybrid quantum-classical learning to enhance...

Integrating Multi-Agent Simulation, Behavioral Forensics, and Trust-Aware Machine Learning for Adaptive Insider Threat Detection

We present a hybrid framework for adaptive insider-threat detection that tightly integrates multi-agent simulation MAS, layered Security Information and Event Management SIEM correlation, behavioral and communication forensics, trust-aware machine learning, and Theory-of-Mind ToM reasoning...

Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis

The accelerated development of social media websites has posed intricate security issues in cyberspace, where these sites have increasingly become victims of criminal activities including attempts to intrude into them, abnormal traffic patterns, and organized attacks. The conventional rule-based...

PT-2026-1142

Name of the Vulnerable Software and Affected Versions Cloudflare affected versions not specified Description A buffer overflow exists in a simulated API. The issue is identified with a hypothetical identifier. The risk assessment is medium overall, and mitigation is suggested with patches. The...

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization

Cybersecurity poses considerable problems to Cloud Computing CC, especially regarding Intrusion Detection Systems IDSs, facing difficulties with skewed datasets and suboptimal classification model performance. This study presents the Hybrid Intrusion Detection System HyIDS, an innovative IDS that...

Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-Based LLM Systems

Low-Rank Adaptation LoRA has become a popular solution for fine-tuning large language models LLMs in federated settings, dramatically reducing update costs by introducing trainable low-rank matrices. However, when integrated with frameworks like FedIT, LoRA introduces a critical vulnerability:...